Instructions to use CLMBR/binding-c-command-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9905a7eb391f55d7dc7fb4968bbf7f7a2ec492aa8c2abeaeb599a6ef50841e9c
- Size of remote file:
- 4.22 kB
- SHA256:
- 8454a3b484071bf16eb35e48ffea3d374957b4d17647592035d537075543b6d2
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